"Human-caused climate warming stops when humans stop adding CO₂ to the atmosphere, & emissions of other greenhouse gases are declining sufficiently" (text from @KA_Nicholas)
2. The near-linear relationship between global warming & CO₂ emissions allows a remaining carbon budget to be defined.
This remaining carbon budget can be distributed over time in many different ways, leading to different 'net-zero' years.
3. It is possible to distribute the remaining carbon budget in a way that it never goes below zero (the brown area is the remaining carbon budget).
This is a simplification of reality, but a helpful comparison to other pathways.
4. It may be too difficult or costly to get all CO₂ emissions to zero, & we may instead use Carbon Dioxide Removal (CDR) to offset some of those emissions, such as through modest afforestation.
This means CO₂ emissions go down 𝐬𝐥𝐢𝐠𝐡𝐭𝐥𝐲 slower in the short-term.
5. Nearly all cost-optimising emission scenarios, in contrast, have large-scale CDR. This leads to lower CO₂ reductions in the short-term, large-scale CDR, & a peak & decline temperature profile (overshoot).
CO₂ reductions in the short term are only 𝐬𝐥𝐢𝐠𝐡𝐭𝐥𝐲 lower.
6. These emission profiles have two components:
E) Emissions from sources (e.g., burning fossil fuels)
R) Removals from sinks (e.g., growing a forest)
The "net" is N=E-R, emissions minus removals.
At net-zero, E<R, & since removals are physically constrained, so are emissions.
7. There is a lot of debate on net-zero, but this proposal by @KA_Nicholas gets around the issue (& includes non-CO₂ emissions)
"Human-caused climate warming stops when humans stop adding CO₂ to the atmosphere, & emissions of other greenhouse gases are declining sufficiently"
8. Why do we need CDR in the first place? Well, it may be a more effective way to eliminate all emissions from the 'difficult-to-abate' sectors. science.sciencemag.org/content/360/63…
All tools are needed - efficiency, dematerialisation, technology - CDR wipes up the remaining emissions.
9. There are also non-CO₂ emissions, such as methane from cows & paddy rice, nitrous oxide from fertilisation, air pollutants (causes a 'cooling')
CDR may be needed to offset some warming from non-CO₂, but since most non-CO₂ emissions are short-lived, CDR may not be needed
10. There are many CDR options, but all are limited by scale, in most cases maturity, & in most cases permanence.
Therefore, we should be frugal in their use, & not put all our eggs in the CDR basket.
Sort of obviously, it makes sense to reduce emissions first...
11. Net-zero emissions are the latest rage, but also very confusing:
* Global cost optimal pathways frame the debate
* Net-zero CO₂ & GHG emissions differ
* Loopholes abound
* Ambiguity rules in this space
I am still pondering over 2023 & El Nino. Is 2023 an (unusual) outlier or not?
Looking at anomaly in 2023 relative to the trendline (loess 50 year window), without (left) & with (right) annualised ENSO lags, then 2023 is rather mundane.
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When looking at the temperature change relative to the previous year, without (left) & with (right) annualised ENSO lags, then 2023 is more unusual depending on the lag.
If 2023 is unusual, then it could be equally explained by 2022 being low (rather than 2023 being high).
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There are numerous ways to consider ENSO. I have used annualised indexes, & various lags can be included. It is also possible to take sub-annual indexes (eg, several months), & again, various lags.
What is statistically best? I presume there is a paper on this.
I started to take an interest in the 2023 temperature increase...
The first plot I did, to my surprise, seems to suggest that 2023 is not unusual at all (given El Nino).
Why?
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It all depends on how you slice the data. The previous figure was the anomaly relative to a trend (loess with 50 year window).
If I plot the change from the previous year (delta T), then 2023 is more unusual. Though, still, is it 2023 that is unusual, or 2022, or 2016, or?
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The loess trend changes shape with the data, making the 2023 anomaly smaller. It is also possible to use a linear trend, making the 2023 anomaly larger.
Comparing the anomaly to a linear trend will make 2023 more important (than if loess is used).
I am not so convinced. The land sink has a lot of variability, mainly due to El Nino, and an El Nino overlapped 2023. So we expect a lower land sink in 2023.
(My estimate assumes the ocean sink was average).
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Was 2023 an El Nino year? That is not so obvious...
How does one average the monthly sea surface data to an annual value El Nino index? How does one account for the lag between El Nino and the change in atmospheric CO2 growth?
There is no unique answer to this.
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This figure shows the monthly El Nino index annualised with different time lags. 2023 is an El Nino or La Nina, depending on how you average!
@richardabetts & @chrisd_jones use a 9 month lag in their work (which means 2023 was a La Nina)!
Record high emissions means record high radiative forcing.
We have you covered, we also include aerosols (SO2, etc) & have done so for decades. Also shipping!
Short-lived aerosols are important, but should not distract from the drivers of change: greenhouse gas emissions!
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Most of the energy put into the system ends in the ocean (90%), so the Ocean Heat Content (OHC) has been increasing along with emissions and radiative forcing.
This also means the Earth Energy Imbalance is also increasing.